Synaptic Current Modeling

Synaptic Current Modeling is a computational framework that quantitatively describes the time- and receptor-dependent ionic currents mediated by synaptic transmission between neurons, distinguishing it from intrinsic or passive neuronal current models by explicitly representing neurotransmitter-gated conductance dynamics.

86

Publications

6.3K

Citations

259

Authors

145

Institutions

Publications per year

2017–2026

17

Authors

259

  1. FW
    Fuqiang Wu

    Lanzhou University of Technology, China

    2 publications · 147 citations

    2

    h-index

  2. RL
    Ronald L. Calabrese

    Emory University, United States

    2 publications · 153 citations

    2

    h-index

  3. GI
    Giacomo Indiveri

    ETH Zurich, Switzerland

    2 publications · 391 citations

    2

    h-index

  4. EE
    E. E. Salpeter

    Cornell University, United States

    2 publications · 491 citations

    2

    h-index

  5. JM
    Jun Ma

    Lanzhou University of Technology, China

    2 publications · 165 citations

    2

    h-index

1–5 of 259

Venues

  1. Biophysical Journal

    10 publications · 566 citations

    10

    h-index

  2. Journal of Neuroscience

    5 publications · 757 citations

    5

    h-index

  3. Journal of Neurophysiology

    JN · 5 publications · 241 citations

    5

    h-index

  4. Nonlinear Dynamics

    5 publications · 215 citations

    4

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 402 citations

    3

    h-index

1–5